Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "79" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 33 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 33 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2460016 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.729058 | 15.185868 | -0.984119 | 5.622775 | -0.712731 | 6.485787 | 0.633208 | -0.023315 | 0.5377 | 0.0399 | 0.4350 | nan | nan |
| 2460015 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.045406 | 15.599369 | -0.939766 | 5.901694 | -0.347107 | 6.912966 | 0.053611 | -0.214201 | 0.5486 | 0.0409 | 0.4403 | nan | nan |
| 2460014 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.236838 | 13.332017 | -0.999071 | 4.049561 | -0.986117 | 10.354910 | 1.639986 | -0.506663 | 0.5141 | 0.0384 | 0.4187 | nan | nan |
| 2460013 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.752893 | 15.616667 | -0.954224 | 5.843130 | -0.340238 | 6.895142 | 0.388337 | 0.120388 | 0.5431 | 0.0397 | 0.4391 | nan | nan |
| 2460012 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.763566 | 14.661583 | -1.141274 | 5.674534 | -0.628033 | 7.613648 | 0.078748 | 0.069218 | 0.5474 | 0.0411 | 0.4365 | nan | nan |
| 2460011 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2460010 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2460009 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | 0.0232 | 0.0797 | -0.0197 | nan | nan |
| 2460008 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2460007 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | - | - | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| 2459999 | not_connected | 0.00% | 0.08% | 99.92% | 0.00% | - | - | nan | nan | nan | nan | nan | nan | nan | nan | 0.5439 | 0.0348 | 0.2544 | nan | nan |
| 2459998 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.691987 | 12.343692 | -1.038521 | 4.973784 | -1.039275 | 10.043037 | 0.815757 | 0.180164 | 0.5736 | 0.0390 | 0.4552 | nan | nan |
| 2459997 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.688675 | 13.442813 | -1.135354 | 5.427643 | -1.153799 | 9.487067 | 0.775967 | 0.022349 | 0.5919 | 0.0413 | 0.4627 | nan | nan |
| 2459996 | not_connected | 100.00% | 98.86% | 98.92% | 0.00% | - | - | 246.486238 | 246.684330 | inf | inf | 3071.133829 | 3126.405062 | 4157.081471 | 4426.729752 | 0.4814 | 0.4681 | 0.4578 | nan | nan |
| 2459995 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.315905 | 14.724254 | -1.408237 | 6.147857 | -0.854635 | 9.301369 | 1.311805 | -0.129340 | 0.5867 | 0.0445 | 0.4456 | nan | nan |
| 2459994 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.373814 | 14.302254 | -1.232283 | 5.353481 | -0.709628 | 9.451715 | 1.241890 | 0.675751 | 0.5809 | 0.0403 | 0.4454 | nan | nan |
| 2459993 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.921483 | 13.480184 | -1.317146 | 4.681296 | -0.489925 | 10.783950 | 0.427817 | 1.122468 | 0.5728 | 0.0339 | 0.4411 | nan | nan |
| 2459991 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.853950 | 16.696899 | -1.295046 | 5.093615 | -0.651203 | 10.636299 | 0.722917 | -0.575496 | 0.5814 | 0.0387 | 0.4556 | nan | nan |
| 2459990 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.478094 | 13.756709 | -1.273414 | 4.842157 | -0.671100 | 10.932457 | 0.783454 | -0.705597 | 0.5742 | 0.0423 | 0.4440 | nan | nan |
| 2459989 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.003130 | 13.945630 | -1.084713 | 4.540740 | -0.891657 | 9.154867 | 0.399478 | -0.702785 | 0.5751 | 0.0384 | 0.4494 | nan | nan |
| 2459988 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.389190 | 16.320047 | -1.424697 | 4.916266 | -0.816814 | 13.077813 | 0.576607 | -0.635272 | 0.5801 | 0.0381 | 0.4536 | nan | nan |
| 2459987 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.808813 | 13.639893 | -1.357269 | 5.074069 | -1.009814 | 7.884074 | -0.276962 | -0.070507 | 0.5890 | 0.0408 | 0.4609 | nan | nan |
| 2459986 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.611884 | 16.718774 | -1.449967 | 5.401132 | -1.072085 | 11.130030 | -0.188798 | 8.757909 | 0.6097 | 0.0399 | 0.4608 | nan | nan |
| 2459985 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.351295 | 15.117791 | -0.730804 | 5.099831 | -1.167786 | 8.499671 | -0.598951 | -0.383588 | 0.6000 | 0.0404 | 0.4705 | nan | nan |
| 2459984 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 0.144726 | 14.490447 | -0.672347 | 5.381731 | -0.918269 | 12.035968 | -0.928425 | 1.587933 | 0.6153 | 0.0426 | 0.4698 | nan | nan |
| 2459983 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.582136 | 14.262065 | -1.316623 | 4.857571 | -0.968723 | 11.036876 | 0.357028 | 5.165544 | 0.6243 | 0.0407 | 0.4418 | nan | nan |
| 2459982 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.465013 | 11.763010 | -0.845381 | 4.321985 | -0.979857 | 5.192966 | 0.042444 | 3.059887 | 0.6571 | 0.0393 | 0.4849 | nan | nan |
| 2459981 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.706058 | 13.163846 | -1.486450 | 4.989044 | -0.379660 | 12.233403 | 0.839476 | -0.639143 | 0.5831 | 0.0415 | 0.4529 | nan | nan |
| 2459980 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.397034 | 12.754952 | -1.483894 | 4.667798 | -0.769445 | 10.665857 | -0.770413 | 4.958689 | 0.6281 | 0.0411 | 0.4702 | nan | nan |
| 2459979 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.867213 | 13.253018 | -1.464825 | 4.240531 | -0.574157 | 10.015000 | 0.868844 | -0.382447 | 0.5764 | 0.0395 | 0.4484 | nan | nan |
| 2459978 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.683964 | 13.469519 | -1.508705 | 4.560337 | -0.569887 | 10.842042 | 1.191920 | -0.880226 | 0.5765 | 0.0373 | 0.4593 | nan | nan |
| 2459977 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.579895 | 14.187489 | -1.431015 | 4.724064 | 0.304933 | 11.209013 | 0.926222 | 0.018478 | 0.5454 | 0.0420 | 0.4163 | nan | nan |
| 2459976 | not_connected | 100.00% | 0.00% | 100.00% | 0.00% | - | - | 1.940177 | 13.686622 | -1.525976 | 4.743853 | -0.580162 | 10.707254 | 1.295964 | -0.093902 | 0.5853 | 0.0387 | 0.4619 | nan | nan |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 15.185868 | 15.185868 | 0.729058 | 5.622775 | -0.984119 | 6.485787 | -0.712731 | -0.023315 | 0.633208 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 15.599369 | 15.599369 | 1.045406 | 5.901694 | -0.939766 | 6.912966 | -0.347107 | -0.214201 | 0.053611 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 13.332017 | 1.236838 | 13.332017 | -0.999071 | 4.049561 | -0.986117 | 10.354910 | 1.639986 | -0.506663 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 15.616667 | 0.752893 | 15.616667 | -0.954224 | 5.843130 | -0.340238 | 6.895142 | 0.388337 | 0.120388 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 14.661583 | 0.763566 | 14.661583 | -1.141274 | 5.674534 | -0.628033 | 7.613648 | 0.078748 | 0.069218 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | nan | nan | nan | nan | nan | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 12.343692 | 0.691987 | 12.343692 | -1.038521 | 4.973784 | -1.039275 | 10.043037 | 0.815757 | 0.180164 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 13.442813 | 0.688675 | 13.442813 | -1.135354 | 5.427643 | -1.153799 | 9.487067 | 0.775967 | 0.022349 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | ee Power | inf | 246.486238 | 246.684330 | inf | inf | 3071.133829 | 3126.405062 | 4157.081471 | 4426.729752 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 14.724254 | 1.315905 | 14.724254 | -1.408237 | 6.147857 | -0.854635 | 9.301369 | 1.311805 | -0.129340 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 14.302254 | 1.373814 | 14.302254 | -1.232283 | 5.353481 | -0.709628 | 9.451715 | 1.241890 | 0.675751 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 13.480184 | 1.921483 | 13.480184 | -1.317146 | 4.681296 | -0.489925 | 10.783950 | 0.427817 | 1.122468 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 16.696899 | 1.853950 | 16.696899 | -1.295046 | 5.093615 | -0.651203 | 10.636299 | 0.722917 | -0.575496 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 13.756709 | 13.756709 | 1.478094 | 4.842157 | -1.273414 | 10.932457 | -0.671100 | -0.705597 | 0.783454 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 13.945630 | 13.945630 | 1.003130 | 4.540740 | -1.084713 | 9.154867 | -0.891657 | -0.702785 | 0.399478 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 16.320047 | 16.320047 | 1.389190 | 4.916266 | -1.424697 | 13.077813 | -0.816814 | -0.635272 | 0.576607 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 13.639893 | 0.808813 | 13.639893 | -1.357269 | 5.074069 | -1.009814 | 7.884074 | -0.276962 | -0.070507 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 16.718774 | 16.718774 | 1.611884 | 5.401132 | -1.449967 | 11.130030 | -1.072085 | 8.757909 | -0.188798 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 15.117791 | 15.117791 | 0.351295 | 5.099831 | -0.730804 | 8.499671 | -1.167786 | -0.383588 | -0.598951 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 14.490447 | 0.144726 | 14.490447 | -0.672347 | 5.381731 | -0.918269 | 12.035968 | -0.928425 | 1.587933 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 14.262065 | 1.582136 | 14.262065 | -1.316623 | 4.857571 | -0.968723 | 11.036876 | 0.357028 | 5.165544 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 11.763010 | 1.465013 | 11.763010 | -0.845381 | 4.321985 | -0.979857 | 5.192966 | 0.042444 | 3.059887 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 13.163846 | 13.163846 | 1.706058 | 4.989044 | -1.486450 | 12.233403 | -0.379660 | -0.639143 | 0.839476 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 12.754952 | 12.754952 | 1.397034 | 4.667798 | -1.483894 | 10.665857 | -0.769445 | 4.958689 | -0.770413 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 13.253018 | 1.867213 | 13.253018 | -1.464825 | 4.240531 | -0.574157 | 10.015000 | 0.868844 | -0.382447 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 13.469519 | 13.469519 | 1.683964 | 4.560337 | -1.508705 | 10.842042 | -0.569887 | -0.880226 | 1.191920 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 14.187489 | 1.579895 | 14.187489 | -1.431015 | 4.724064 | 0.304933 | 11.209013 | 0.926222 | 0.018478 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 79 | N11 | not_connected | nn Shape | 13.686622 | 13.686622 | 1.940177 | 4.743853 | -1.525976 | 10.707254 | -0.580162 | -0.093902 | 1.295964 |